Optimizing the parsing logic for csv and xlsx files. In addition, offline running of Docker images is now supported. #139

xixihahaliu · 2024-02-26T10:52:42Z

Introduced the ability to run Docker images offline.
Optimizing the parsing logic for csv and xlsx files and search result processing.
Enhanced the project startup experience by optimizing the loop sleep duration, reducing frontend code build time and providing guidance for troubleshooting startup failures on Windows 10.

…oding.

…unning default large model.

…cally provides a solution.

…determine whether front-end code needs to be built.

xixihahaliu added 15 commits February 20, 2024 12:24

refactor: The search results of the CSV file are not expanded.

6b44835

fix: Bug caused by the absence of kernel in metadata.

21f3a7d

refactor: Attempt to fill in the missing parts of the list.

65b130a

fix: Error filling missing values in CSV.

93d250e

refactor: The parsing logic of xlsx files is consistent with csv.

2515040

refactor: When converting xlsx file to csv, use the default utf-8 enc…

cb9cbdb

…oding.

refactor: Add sigmoid normalization operation to relevance score.

ad26929

feat: After downloading the dependent docker image, support offline r…

95a9e5c

…unning default large model.

chore: When the Win10 system runs the qanything 7B model, it automati…

0a5e36b

…cally provides a solution.

fix: Typographical error in shell script.

9f63c20

fix: Error in the YAML file under Windows.

22943f3

chore: The log shows the progress of embedding.

164ff26

refactor: Optimize the waiting time during the loop and add logic to …

a05cfd9

…determine whether front-end code needs to be built.

fix: The qanything-7b model is not supported on Win10.

4c07312

fix: Incorrect case of environment variables.

dc9234f

xixihahaliu merged commit aaf1bc3 into master Feb 26, 2024

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